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An Industrial Survey of Safety Evidence Change Impact Analysis Practice
RISE, Swedish ICT, SICS, Security Lab. SICS.
Number of Authors: 4
2016 (English)In: IEEE Transactions on Software Engineering, Vol. PPArticle in journal (Refereed) Published
Abstract [en]

In many application domains, critical systems must comply with safety standards. This involves gathering safety evidence in the form of artefacts such as safety analyses, system specifications, and testing results. These artefacts can evolve during a system's lifecycle, creating a need for impact analysis to guarantee that system safety and compliance are not jeopardised. Although extensive research has been conducted on change impact analysis and on safety evidence management, the knowledge about how safety evidence change impact analysis is addressed in practice is limited. This paper reports on a survey targeted at filling this gap by analysing the circumstances under which safety evidence change impact analysis is addressed, the tool support used, and the challenges faced. We obtained 97 valid responses representing 16 application domains, 28 countries, and 47 safety standards. The results suggest that most practitioners deal with safety evidence change impact analysis during system development and mainly from system specifications. Furthermore, the level of automation in the process is low and insufficient tool support is the most frequent challenge. Other notable findings include that the different artefact types used as safety evidence seem to co-evolve, the evolution of safety case should probably be better managed, and no commercial impact analysis tool has been reported as used for all artefact types. Finally, we identified over 20 areas where the state of the practice in safety evidence change impact analysis can be improved.

Place, publisher, year, edition, pages
IEEE , 2016, 13. Vol. PP
Keyword [en]
Safety-critical System, Safety Evidence, Change Impact Analysis, State of the Practice, Survey Research
National Category
Computer and Information Science
URN: urn:nbn:se:ri:diva-15727DOI: 10.1109/TSE.2016.2553032OAI: diva2:1037048
Available from: 2016-10-13 Created: 2016-10-13

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de la Vara, José LuisBorg, Markus
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